Generation of engagement and support recommendations for content creators

ABSTRACT

Systems and methods are provided for generating engagement recommendations suggesting ways that one or more creators of content may maximize subscribership and/or subscription-based revenue, as well as support recommendations suggesting ways that the one or more creators of content may realize successful support of their content creation. Engagement recommendations can involve suggestions regarding when and/or how to engage one or more subscribers that results in a positive impact to subscribership and/or subscription-based revenue. Support recommendations can involve suggestions regarding when and/or how to elicit support in line with preferred indicia of success set forth by the one or more creators.

FIELD

The disclosure relates to membership platforms, and in particular, tosubscription-based funding. Engagement and/or support recommendationssuggesting how and/or when to engage with consumers that subscribe toand/or indicate an interest in content creators, as well as supportingparties, may be provided to a content creator to allow the contentcreator to maximize subscribership and revenue generated throughsubscription-based funding.

BACKGROUND

Different platforms can be utilized by entities seeking contributionsfrom the general public to obtain a needed service(s) and/orresource(s). Some of these platforms facilitate raising resources (i.e.,funds) from the general public through monetary contributions ordonations to support a project. Oftentimes, supporters of a project aregiven rewards or special perks, where the size and/or exclusivity of therewards or special perks can depend on the amount contributed.

SUMMARY

The disclosure describes generating engagement recommendationssuggesting ways that one or more creators of content may maximizesubscribership and/or subscription-based revenue through enhancinginteractions between the one or more content creators and theirsubscribers/potential subscribers. The disclosure describes generatingsupport recommendations suggesting ways that one or more creators ofcontent may realize successful support of their content creation,whether that support is realized through subscription-based revenueand/or through non-subscription-based support activities. Engagementrecommendations can involve suggestions regarding when and/or how toengage one or more subscribers that results in a positive impact tosubscribership and/or subscription-based revenue. Supportrecommendations can involve suggestions regarding when and/or how toelicit support in line with preferred indicia of success set forth bythe one or more creators.

One aspect of the disclosure relates to a recommendation generationsystem configured to generate content creator engagement recommendationsfor a content creator that can enhance engagement of subscribership tocontent created by the content creator. The system may comprise one ormore physical processors configured by machine-readable instructions toobtain campaign information associated with the content creator. Thecampaign information may include subscribership information and creationinformation. The subscribership information can characterize demographicinformation describing one or more subscribers of the content creator,subscriber-initiated interaction between at least one subscriber and thecontent creator, and/or subscription performance metrics. The creationinformation can characterize at least one of content created by thecontent creator, the content creator, and/or creator-initiatedinteraction between the at least one subscriber and the content creator.The system may comprise one or more physical processors configured bymachine-readable instructions to analyze the campaign information todetermine impact information indicative of future contentcreator-initiated interactions' impact on the subscribership. The systemmay comprise one or more physical processors configured bymachine-readable instructions to generate the content creator engagementrecommendations based on the campaign information and the impactinformation, the content creator engagement recommendations representingone or more of the future content creator-initiated interactions havinga positive impact on the subscribership. The system may comprise one ormore physical processors configured by machine-readable instructions todeliver one or more of the content creator engagement recommendationsfor presentation to the content creator.

Subscription performance metrics may characterize revenue-relatedperformance of the subscribership. Subscription performance metrics maycharacterize one or more of a new subscription creation rate, asubscriber retention rate, and/or a subscriber churn rate.

The one or more physical processors configured to analyze the campaigninformation to determine impact information may be further configured bymachine-readable instructions to determine an impact of instances of thesubscriber-initiated and/or content creator-initiated interactions onthe subscribership. The instances of the subscriber-initiated and/orcontent creator-initiated interactions may be historical instances. Thehistorical instances may be representative of subscriber-initiatedinteractions between subscribers of a second content creator and thesecond content creator and/or content-initiated interactions between thesecond content creator and the subscribers of the second contentcreator.

The one or more physical processors configured to analyze the campaigninformation to determine impact information may be further configured bymachine-readable instructions to determine one or more factors presentin the instances of the subscriber-initiated and/or contentcreator-initiated interactions contributing to the determined impact. Atleast one of the one or more factors may comprise timing information.The content creator engagement recommendations may further comprisetiming, based on the timing information, of the engagement in the one ormore of the future content creator-initiated interactions.

The one or more physical processors configured to analyze the campaigninformation to determine impact information may be further configured bymachine-readable instructions to identify one or more aspects of theinstances of the subscriber-initiated and/or content creator-initiatedinteractions as one or more triggers for triggering engagement in theone or more of the future content creator-initiated interactions.

The one or more physical processors configured to analyze the campaigninformation to determine impact information may be further configured bymachine-readable instructions to codify the impact, the one or morefactors, and the one more triggers into one or more rules upon which thecontent creator engagement recommendations are based.

The content creator engagement recommendations may further comprise arecommendation to avoid one or more of the future contentcreator-initiated interactions having a negative impact on thesubscribership.

One aspect of the disclosure relates to a recommendation generationsystem configured to generate support-maximizing recommendations for acontent creator that can enhance the content creator's ability to createcontent via a subscription-based funding campaign. The system maycomprise one or more physical processors configured by machine-readableinstructions to obtain campaign information associated with the contentcreator. The campaign information may include subscribership informationand creation information. The subscribership information maycharacterize demographic information describing one or more subscribersof the content creator, subscriber-initiated interaction between atleast one subscriber and the content creator, and/or subscriptionperformance metrics. The creation data may characterize at least one ofcontent created by the content creator, the content creator, and/orcreator-initiated interaction between the at least one subscriber andthe content creator. The system may comprise one or more physicalprocessors configured by machine-readable instructions to obtain contentcreator-specified information characterizing desired sources of supportincluding subscribership-generated revenue supporting creation of therecurring content and/or one or more support activities supportingcreation of the recurring content. The system may comprise one or morephysical processors configured by machine-readable instructions toobtain content creator-specified indicia characterizing successfulrealization of support from the perspective of the content creator. Thesystem may comprise one or more physical processors configured bymachine-readable instructions to generate the support-maximizingrecommendations based upon one or more correlations between the contentcreator-specified indicia and the campaign information. The system maycomprise one or more physical processors configured by machine-readableinstructions to deliver one or more of the support-maximizingrecommendations for presentation to the content creator.

The one or more physical processors configured to generate thesupport-maximizing recommendations may be further configured bymachine-readable instructions to generate webpage layout instructionsfor organizing webpage elements representing one or more aspects of thesubscription-based funding campaign.

The one or more physical processors configured to generate thesupport-maximizing recommendations may be further configured bymachine-readable instructions to transmit notifications suggesting thatthe content creator engage in one or more future creator-initiatedinteractions determined to result in the successful realization ofsupport.

The one or more physical processors may be configured bymachine-readable instructions to transmit the notifications at timesdetermined to be likely to result in the successful realization ofsupport. The one or more support activities supporting creation of therecurring content support may comprise non-subscribership supportactivities.

The one or more physical processors configured to generate thesupport-maximizing recommendations may be further configured bymachine-readable instructions to analyze campaign information associatedwith one or more other content creators related to the content creatorby the same and/or similar creation information and/or subscribershipinformation.

One aspect of the disclosure relates to a method of generating contentcreator engagement recommendations for a content creator that canenhance engagement of subscribership to content created by the contentcreator. The method may comprise obtaining campaign informationassociated with the content creator. The campaign information caninclude subscribership information and creation information. Thesubscribership information may characterize demographic informationdescribing one or more subscribers of the content creator,subscriber-initiated interaction between at least one subscriber and thecontent creator, and/or subscription performance metrics. The creationinformation may characterize at least one of content created by thecontent creator, the content creator, and/or creator-initiatedinteraction between at least one subscriber and the content creator. Themethod may comprise analyzing the campaign information to determineimpact information indicative of future content creator-initiatedinteractions' impact on the subscribership. The method may comprisegenerating the content creator engagement recommendations based on thecampaign information and the impact information, wherein the contentcreator engagement recommendations represent one or more of the futurecontent creator-initiated interactions having a positive impact on thesubscribership. The method may comprise delivering one or more of thecontent creator engagement recommendations for presentation to thecontent creator.

The determining of impact information may further comprise determiningan impact of instances of the subscriber-initiated and/or contentcreator-initiated interactions on the subscribership. The determining ofimpact information may further comprise determining one or more factorspresent in the instances of the subscriber-initiated and/or contentcreator-initiated interactions contributing to the determined impact.The determining of impact information may further comprise identifyingone or more aspects of the instances of the subscriber-initiated and/orcontent creator-initiated interactions as one or more triggers fortriggering engagement in the one or more of the future contentcreator-initiated interactions. The determining of impact informationmay further comprise codifying the impact, the one or more factors, andthe one more triggers into one or more rules upon which the contentcreator engagement recommendations are based. At least one of the one ormore factors may comprise timing information, and the content creatorengagement recommendations may further comprise timing, based on thetiming information, of the engagement in the one or more of the futurecontent creator-initiated interactions.

These and other objects, features, and characteristics of the systemand/or method disclosed herein, as well as the methods of operation andfunctions of the related elements of structure and the combination ofparts and economies of manufacture, will become more apparent uponconsideration of the following description and the appended claims withreference to the accompanying drawings, all of which form a part of thisspecification, wherein like reference numerals designate correspondingparts in the various figures. It is to be expressly understood, however,that the drawings are for the purpose of illustration and descriptiononly and are not intended as a definition of the limits of theinvention. As used in the specification and in the claims, the singularform of “a”, “an”, and “the” include plural referents unless the contextclearly dictates otherwise.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 illustrates an example membership system.

FIG. 2 is an example computing component that may be used to implementvarious features described in the disclosure.

FIG. 3 illustrates an example engagement recommendation system.

FIG. 4 is an example flow diagram illustrating example processes thatmay be performed for providing engagement recommendations.

FIG. 5 is an example flow diagram illustrating example processes thatmay be performed for providing engagement recommendations based at leastin part, on revenue generating preferences specified by a contentcreator.

FIG. 6 illustrates an example content creator user interface throughwhich engagement recommendations may be presented and implemented.

DETAILED DESCRIPTION

Some entities may seek to fund their business through subscriptions.Such entities may utilize online membership platforms to create acampaign that allows consumers to sign up for ongoing payments inexchange for rewards or other membership benefits.

Some entities seeking funding may be content creators, for example,artists, musicians, educators, etc. Content creators may create content,which can refer to any type of information, experience, or productprovided to an audience or end-user, whether it be digital, analog, orvirtual. For example, content may include but is not limited to videocontent, podcasts, photographic art, webcomics, do-it-yourself crafts,digital music, performance art, and other types of content. Contentcreators may utilize membership platforms that allow consumers to becomesubscribers of the content creator. As subscribers, consumers maycontribute or donate money to a content creator on a recurring (e.g.,weekly or monthly) basis or per piece of content created by the contentcreator. Content creators may interact with subscribers and/orprospective subscribers (e.g., consumers that show interest in thecontent created by content creators) in a variety of ways. It should benoted that although the disclosure may describe embodiments in thecontext of a subscriber-based membership platform such as a recurringcontent website, engagement recommendations can be provided to contentcreators irrespective of how content may be distributed and/or anyparticular membership platform utilized by the content creator.

In order to maximize revenue received from subscribers and/or increasesubscribership, content creators can be provided with engagementrecommendations. Engagement recommendations can refer to suggestedinteractions that can be undertaken by content creators in relation tosubscribers and/or prospective subscribers, as well as when thosesuggested actions can be performed so that revenue and subscribershipcan be maximized. Such interactions may generate interest in the contentcreated by the content creators, as well as maintain and/or increasesubscribership and subscribership-generated revenue. Engagementrecommendations can refer to suggestions regarding interactions thatcontent creators may wish to avoid in order to avoid losing subscribersand/or at least maintain a current state of subscribership. Supportrecommendations can be provided to content creators and/or implementedon behalf of content creators to assist in maximizingnon-subscription-based support for content creation.

Engagement recommendations can be generated based on one or more factorsdetermined to have an impact on or result in some consequent regardingrevenue and/or subscribership for one or more content creators. Once theimpact of the factors is determined, those determinations may becodified into a system or model of behavior responsive to one or moretriggers that can be applied to a content creator's current and/orpreferred practices or habits regarding engagement (or lack thereof).These determinations may be used to guide the content creator'sinteractions with subscribers, the creation of content, revenuegeneration, etc. For example, if a subscriber's observed action(s)matches a trigger in the codified model, a corresponding response to thetrigger can be identified and suggested to a content creator as anengagement recommendation.

Factors may include information characterizing subscribership includingbut not limited to: subscriber-specific information (e.g., subscriberdemographic information and information reflecting one or moresubscriber's engagement or interaction with the content creator);revenue-related subscription information (e.g., the amount of moneyreceived from subscribers); and/or performance-related subscriptioninformation (e.g., subscription creation, retention, and attrition/churnrates). Factors may include information characterizing creationincluding, but not limited to: information regarding the content creator(e.g., the type of content created by the content creator, the medium orvenue through which content is created or provided, the type, timing,amount, and/or quality of the content creator's engagement withsubscribers, etc.); and/or content creator-specified preferencesregarding preferred revenue sources and/or revenue amounts and contentcreator-specified preferences regarding preferred correlations betweensubscription levels.

The factors may be factors that are currently relevant or that have beenrecently determined. The factors may be historical factors that havebeen monitored over some previous period of time. The factors mayreflect characteristics of a content creator and his/her subscribers,other content creators to whom his/her subscribers also subscribe, aswell as content creators that create the same or similar content and/orhave subscription-based membership campaigns on a common or separateplatform.

FIG. 1 illustrates an example subscriber-based membership system 10. Acontent creator 12 may register and set up a creator account withsubscription platform 16. Content creator 12 may create a page on awebsite hosted by server 22 of subscription platform 16 and inputrelevant information. Content creator 12 may input informationassociated with and/or relevant to content creator 12 via subscriptioncomponent 18, such as creation information, content information,information specifying desired and/or initial subscription levels,and/or preferred revenue source information which will be discussed ingreater detail below. The page created by content creator 12 may bebuilt using such information to make potential consumers aware of howcontent creator 12 may wish to be supported/receive support for his/hercontent creation in addition to subscribership revenue.

Consumer 14 may set up a subscriber account with subscription platform16. In setting up the subscriber account, consumer 14 may inputdemographic information relevant to consumer 14, e.g., age, income, job,etc. Through the page created by content creator 12, a consumer 14 maypledge to donate a given amount of money to content creator 12 everytime content creator 12 creates content. For example, if content creator12 is an artist, consumer 14 may pledge to donate ten dollars each timecontent creator 12 creates a piece of art.

In order to remit payment to content creator 12, consumer 14 may set upa payment mechanism through subscription platform 16 as part of settingup his/her subscriber account. When subscription platform 16 is notifiedor determines that content creator 12 has created content, subscriptionplatform 16 may access payment network 26 to obtain and transfer thepledged amount from consumer bank 28 to content creator bank 30.Alternatively (or in addition to per content pledge donations), consumer14 may pledge to donate a given amount to content creator 12 on arecurring basis through subscription platform 16. For example, consumer14 may pledge to donate five dollars each month to content creator 12,where each month, subscription platform 16 may access payment network 26to obtain and transfer the pledged amount from consumer bank 28 tocontent creator bank 30. It should be understood that consumer 14 mayhave an established relationship with consumer bank 28, and that contentcreator 12 may have an established relationship with content creatorbank 30. It should be noted that subscription platform 16 may retain aportion, such as some percentage, of the pledged amount, as a fee forhosting the page created by content creator 12, providing paymentservices, etc.

As consideration for the pledged donations, content creator 12 mayprovide some type of preferential access to consumer 14 in the form of,e.g., special perks or rewards. Content creator 12 can specify tiers ofpreferential access based upon the amount of money consumer 14 pledgesto donate and/or depending on whether the pledged donation is arecurring donation or a per content donation. The amounts and/or typesof pledged donations that can be made by consumer 14 to back contentcreator 12 can be referred to as subscription levels.

For example, in return for a monthly, recurring ten dollar donation,content creator 12 may provide a high-resolution digital image of theartwork created during that month to consumer 14. In exchange for aweekly, recurring ten dollar donation, content creator 12 may provide ahigh-resolution digital image of the artwork created during that monthas well as a time-lapse video of content creator 12 creating theartwork. In exchange for a five dollar per content donation, contentcreator 12 may provide a low-resolution digital image of the artwork.For a one hundred dollar per content donation, content creator 12 mayengage in a live webchat with consumer 14. Various types of preferentialaccess can be provided by content creator 12 to consumer 14, and contentcreator 12 may specify the subscription level to preferential accesscorrelation.

The preferential access may be provided to consumer 14 from contentcreator 12. For example, content creator 12 may email digital copies ofartwork to consumer 14 over a communications network, such as a localarea network (LAN), a wide area network (WAN), a wireless network (e.g.,WiFi), a mobile communication network, a satellite network, theInternet, fiber optic, coaxial cable, infrared, radio frequency (RF) orany other suitable network. The preferential access may be provided toconsumer 14 from content creator 12 via subscriber platform 16. Forexample, the live webchat between content creator 12 and consumer 14 maybe provided through some chat functionality of the page of contentcreator 12 hosted on server 22 of subscription platform 16, which mayreside on communications network 32 or on another network (not shown).

It should be noted that not all subscription levels are necessarilyassociated with preferential access. Some consumers may be driven tosubscribe to content creator 12 on the basis of created content ratherthan any special perks or rewards.

The specification and management of subscriptions on behalf of contentcreator 12 may be handled by subscription component 18 alone or inconjunction with database 24. For example, a user interface may beprovided via subscription component 18 allowing content creator 12 tospecify his/her desired subscription levels and correspondingpreferential access, as well as his/her preferred sources of revenue.Subscription component 18 may receive the information input by contentcreator 12 and transmit the information for storage as one or morerecords, matrices, or other data structures in database 24 or withinmemory local to subscription component 18. Database 24 or the localmemory of subscription component 18 may be configured in any type ofsuitable database configuration, such as a relational database, astructured query language (SQL) database, a distributed database, anobject database, etc. Suitable configurations and database storage typeswill be apparent to persons having skill in the relevant art.

Content creator 12 may add subscribership information, update and/ordelete existing subscribership information, add creation information, aswell as update and/or delete creation information. Such changes can beinput via subscription component 18 and reflected in its local memoryand/or database 24. It should be understood that content creator 12and/or consumer 14 may be an individual or some entity representative ofan individual or group of individuals.

Apart from providing preferential access to consumer 14, content creatormay engage with consumer 14 by interacting in a variety of ways. Forexample, content creator 12 may communicate with consumer 14 over email,one or more social media platforms, a messaging platform or otherappropriate communication mechanism or method. It should be understoodthat such communication platforms or mechanisms may be embodied incommunications network 32 allowing content creator 12 and consumer 14 tocommunicate outside of subscription platform 16. It should be understoodthat communication platforms or mechanisms may operate in conjunctionwith subscription platform 16 such that one or more of their respectivefunctionalities may be utilized through subscription platform 16. Forexample, social media hyperlinks allowing information from contentcreator 12's webpage may be provided on the webpage allowing contentcreator 12 to share content creation progress updates with consumer 14.For example, content creator 12 may respond to a communication fromconsumer 14 posted on a comment section provided on content creator 12'swebpage in a private message or as part of the comment thread. It shouldbe noted that content creator 12 may engage a single consumer, e.g.,consumer 14, one-on-one and/or may engage a group of consumers. Forexample, content creator 12 may post a “public” comment on his/herwebpage that can be seen by any consumer that is a subscriber to contentcreator 12 and/or any consumer that may be a potential subscriber. Itshould be noted that a content creator's subscribers can be collectivelyreferred to as the content creator's community.

FIG. 2 illustrates an example computing component that may be used toimplement various features of the system and methods disclosed herein,for example, subscription platform 16, server 22, subscription component18, payment network 26, recommendation component 20, and/or one or moreelements comprising these components.

As used herein, the term component might describe a given unit offunctionality that can be performed in accordance with one or moreembodiments of the present application. As used herein, a componentmight be implemented utilizing any form of hardware, software, or acombination thereof. For example, one or more processors, controllers,ASICs, PLAs, PALs, CPLDs, FPGAs, logical components, software routinesor other mechanisms might be implemented to make up a component. Inimplementation, the various components described herein might beimplemented as discrete components or the functions and featuresdescribed can be shared in part or in total among one or morecomponents. In other words, as would be apparent to one of ordinaryskill in the art after reading this disclosure, the various features andfunctionality described herein may be implemented in any givenapplication and can be implemented in one or more separate or sharedcomponents in various combinations and permutations. Even though variousfeatures or elements of functionality may be individually described orclaimed as separate components, one of ordinary skill in the art willunderstand that these features and functionality can be shared among oneor more common software and hardware elements, and such descriptionshall not require or imply that separate hardware or software componentsare used to implement such features or functionality.

Where components are implemented in whole or in part using software, inone embodiment, these software elements can be implemented to operatewith a computing or processing component capable of carrying out thefunctionality described with respect thereto. One such example computingcomponent is shown in FIG. 2 . Various embodiments may be described interms of this example computing component 34. After reading thisdisclosure, it will become apparent to a person skilled in the relevantart how to implement the application using other computing components orarchitectures.

Computing component 34 may represent, for example, computing orprocessing capabilities found within a desktop, laptop, notebook, andtablet computers; hand-held computing devices (tablets, PDA's, smartphones, cell phones, palmtops, etc.); workstations or other devices withdisplays; servers; or any other type of special-purpose orgeneral-purpose computing devices as may be desirable or appropriate fora given application or environment. Computing component 34 might alsorepresent computing capabilities embedded within or otherwise availableto a given device. For example, a computing component might be found inother electronic devices such as, for example, portable computingdevices, and other electronic devices that might include some form ofprocessing capability.

Computing component 34 might include, for example, one or moreprocessors, controllers, control components, or other processingdevices, such as a processor 38. Processor 38 might be implemented usinga general-purpose or special-purpose processing engine such as, forexample, a microprocessor, controller, or other control logic. In theillustrated example, processor 38 is connected to a bus 36, although anycommunication medium can be used to facilitate interaction with othercomponents of computing component 34 or to communicate externally.

Computing component 34 might include one or more memory components,simply referred to herein as memory 40. For example, preferably randomaccess memory (RAM) or other dynamic memory, might be used for storinginformation and instructions to be executed by processor 38. Memory 40might be used for storing temporary variables or other intermediateinformation during execution of instructions, such as machine-readableinstructions, to be executed by processor 38. Computing component 32might include a read only memory (“ROM”) or other static storage devicecoupled to bus 36 for storing static information and instructions forprocessor 38.

The computing component 34 might include one or more various forms ofinformation storage mechanisms 42, which might include, for example, amedia drive 44. The media drive 44 might include a drive or othermechanism to support fixed or removable storage media 46. For example, ahard disk drive, a solid state drive, a magnetic tape drive, an opticaldisk drive, a compact disc (CD) or digital video disc (DVD) drive (R orRW), or other removable or fixed media drive might be provided.Accordingly, storage media 46 might include, for example, a hard disk,an integrated circuit assembly, magnetic tape, cartridge, optical disk,a CD or DVD, or other fixed or removable medium that is read by, writtento or accessed by media drive 44. As these examples illustrate, thestorage media 46 can include a computer usable storage medium havingstored therein computer software or data.

Computing component 34 might include other similar instrumentalities forallowing computer programs or other instructions or data to be loadedinto computing component 34. Such instrumentalities might include, forexample, a fixed or removable storage unit 50 and an interface 48.Examples of such storage units 50 and interfaces 48 can include aprogram cartridge and cartridge interface, a removable memory (forexample, a flash memory or other removable memory component) and memoryslot, a PCMCIA slot and card, and other fixed or removable storage units50 and interfaces 48 that allow software and data to be transferred fromthe storage unit 50 to computing component 34.

Computing component 34 might include a communications interface 52.Communications interface 52 might be used to allow software and data tobe transferred between computing component 34 and external devices.Examples of communications interface 52 might include a modem orsoftmodem, a network interface (such as an Ethernet, network interfacecard, WiMedia, IEEE 802.XX or other interface), a communications port(such as for example, a USB port, IR port, RS232 port Bluetooth®interface, or other port), or other communications interface. Softwareand data transferred via communications interface 52 might typically becarried on signals, which can be electronic, electromagnetic (whichincludes optical) or other signals capable of being exchanged by a givencommunications interface 52. These signals might be provided tocommunications interface 52 via a channel 54. This channel 54 mightcarry signals and might be implemented using a wired or wirelesscommunication medium. Some examples of a channel might include a phoneline, a cellular link, an RF link, an optical link, a network interface,a local or wide area network, and other wired or wireless communicationschannels.

In this document, the terms “computer program medium” and “computerusable medium” are used to generally refer to transitory ornon-transitory media such as, for example, memory 40, storage unit 50,media 46, and channel 54. These and other various forms of computerprogram media or computer usable media may be involved in carrying oneor more sequences of one or more instructions to a processing device forexecution. Such instructions embodied on the medium, are generallyreferred to as “machine-readable code,” “computer program code” or a“computer program product” (which may be grouped in the form of computerprograms or other groupings). When executed, such instructions mightenable the computing component 34 to perform features or functions ofthe disclosure as discussed herein.

FIG. 3 illustrates elements that may make up recommendation component 20and database 24. As indicated previously, subscription component 18 maytransmit information input by content creator 12 and/or consumer 14regarding creation and/or subscribership information to database 24.Subscription platform 16, via server 22, for example, may monitor andobtain creation and/or subscribership information for storage indatabase 24. For example, subscription platform 16 may monitor and storeadditional subscriber demographic information as well asperformance-related subscribership information, e.g., engagementactivity between content creator 12 and his/her subscribers, one of whommay be consumer 14. For example, subscription platform 16 may monitorthe amount of money being generated and/or lost through the subscribers,as well as content creator 12's subscriber retention rate. For example,subscription platform 16 may monitor and store performance-relatedcreation information, such as the amount of content that content creator12 is creating, how often and/or how quickly content creator 12 reactsto subscriber engagement activity, etc.

Database 24 may include one or more databases or partitions in whichinformation relating to content creator 12, subscribership relevant tocontent creator 12, as well as recent and/or historical engagementinformation can be stored. It should be noted that the elements and/orfunctionality of database 24 may be implemented in local memory residentin subscription component 18 or shared between database 24 and the localmemory of subscription component 18 rather than solely in database 24.

Content creator information characterizing content creator 12 can beinformation reflecting the type of creator content creator 12 designateshim/herself to be and/or any preferences regarding subscriptionofferings by content creator 12. For example, content creator typeinformation can reflect that content creator 12 may be a paint artist, adigital artist, a sculptor, a video game developer, a writer, aperformance artist, etc. Content creator preference information canreflect subscription levels content creator 12 wishes to offer tosubscribers. Content creator preference information can reflect, e.g., adesired minimum revenue, preferred sources of revenue, subscriptionlevel proportions, etc. For example, content creator preferenceinformation may include information indicating content creator 12'sdesire for more subscribers pledging some amount of money or lesssubscribers pledging a greater amount of money. For example, contentcreator preference information may include information specifying thatcontent creator 12 wishes to supplement his/her subscription-generatedrevenue with revenue generated from the sale of promotional merchandise.Such information may be stored in a content creator database 24 a.

Content information characterizing the content that content creator 12creates can refer to one or more of the type of content created, themedium in which the content is created and/or presented, the amount ofcontent created, and/or the frequency at which the content is created.For example, type of content information and/or content mediuminformation may indicate that content creator 12 creates paintings oncanvas, develops video games for a mobile platform, performs in onlinemusical performances, etc. For example, content amount information canreflect that content creator 12 created a series of artwork comprisingfour paintings. For example, content frequency information can indicatethat content creator 12 developed three video games over the course ofsix months. Such information may be stored in content database 24 b.

Content creator engagement information characterizing the interactionsinitiated by content creator 12 with subscribers/potential subscriberscan refer to the type of interactions and/or the medium (e.g., socialmedia platform) over which interactions took place, and/or the amountand/or frequency of interactions initiated by content creator 12.Content creator engagement information characterizing the interactionsinitiated by content creator 12 with subscribers/potential subscriberscan refer to the timing of the interactions (e.g., whether theinteraction was in response to a subscriber-initiated interaction andhow quickly content creator responded to the subscriber initiated theinteraction). Such information may be stored in content creatorengagement database 24 c.

As previously discussed, consumer 14 may subscribe to content creator 12by registering with subscription platform 16. During registration,consumer 14 may input certain subscriber demographic informationindicative of economic and/or social characteristics of consumer 14.Subscriber demographic information may reflect the yearly income ofconsumer 14, a geographic area in which consumer 14 resides, the age ofconsumer 14, interests of consumer 14, etc. Subscriber information caninclude data regarding the amount of money consumer 14 is currentlypledged to donate to one or more content creators. Over time, asmonitored and collected by subscription platform 16, subscriberinformation can include information regarding the amount of moneyconsumer 14 has previously donated to one or more content creators,including content creator 12. Subscriber information, as monitored andobtained by subscription platform 16 may include an Internet Protocol(IP) address indicative of a current location of consumer 14 and/or anIP address indicating a payment source. Such information may be storedin subscriber database 24 d.

Performance-related subscription information can refer to datacharacterizing revenue and/or subscriber retention and creation. Forexample, such information may reflect how many pledges and/or how muchactual revenue content creator 12's subscriptions have generated oversome period of time, e.g., when content creator 12 began his/hercampaign, monthly or yearly revenue, etc. For example, such informationmay reflect pledged donations that fail, i.e., payment is not ultimatelycollected by a subscriber. For example, such information may reflect therate at which consumers become actual subscribers (e.g., consumers thatindicate interest in content creator 12 by “liking” content creator 12'swebpage, and subsequently pledge a recurring donation), the rate atwhich subscribers unsubscribe (also referred to as attrition or churnrate), etc. Such information may be stored in subscription database 24e.

Subscriber engagement information characterizing the interactionsinitiated by a subscriber with content creator 12 can refer to the typeof interactions and/or the medium (e.g., social media platform) overwhich interactions took place, the amount and/or frequency ofinteractions initiated by the subscriber, and/or specific dates/times ofthe subscriber initiated the interaction. Such information may be storedin subscriber engagement database 24 f.

Periodically (e.g., every week or month) or aperiodically (e.g., uponinstruction by an administrator of subscription platform 16), subscriberengagement information from subscriber engagement database 24 f andcontent creator engagement information from content creator engagementdatabase 24 c can be transferred to historical engagement database 24 g.

It should be noted that not all the information described above isnecessarily required, and that information reflecting additional aspectsof, e.g., the content, content creator, content creator preferences,and/or subscribership is contemplated by the disclosure. For example,content creator 12 need not initially specify his/her content creatorpreferences. For example, only some of the aforementioned types ofdemographic information may be collectable from subscribers. Forexample, subscriber data may include data reflecting other contentcreators to which a subscriber pledges donations.

FIG. 3 illustrates that recommendation component 20 may comprise aperformance and impact engine 20 a for obtaining performance statisticsand generating engagement recommendations. Recommendation component 20may comprise a reporting engine 20 b for reporting or otherwiseforwarding the recommendations and performance information to one ormore content creators and/or subscription platform 16.

Performance and impact engine 20 a may collect revenue and/orsubscribership performance statistics from subscriber database 24 dand/or subscription database 24 e. For example, performance and impactengine 20 a may obtain revenue-related subscription information (e.g.,the amount of money pledged by and/or received from content creator 12'scommunity of subscribers). For example, performance and impact engine 20a may obtain performance-related subscription information (e.g.,subscription creation, retention, and attrition/churn rates regardingcontent creator 12's community of subscribers.

Performance and impact engine 20 a may be configured to determine theimpact of content creator and subscriber engagement scenarios on revenueand/or subscribership by analyzing historical engagement information.Upon determining the impact, or as part of the determination,performance and impact engine 20 a may determine one or more factorsthat contributed to the resulting impact. Performance and impact engine20 a may codify the determined impact, relevant factors, and one or moreaspects of an engagement that may be characterized as triggers into asystem of rules or behavior model. Performance and impact engine 20 amay apply the rules or model to the current status of a contentcreator's subscribership and/or interactions, and generate engagementsuggestions for the content creator.

To determine impact, performance and impact engine 20 a may analyzesubscriber and content creator engagement information stored inhistorical engagement database 24 g to determine the results of variouscontent creator and subscriber interactions. For example, the engagementinformation may reflect that when content creator 12 has responded to apost made by consumer 14 on content creator 12's webpage within 1 hour,consumer 14 is likely to follow through with his/her pledged donation(rather than letting the pledge fail).

To determine relevant factors, performance and impact engine 20 a maylook at related interactions and/or engagements with the same or similarcircumstances to identify factors that are likely to contribute to theresulting impact. For example, performance and impact engine 20 a mayobtain historical engagement information involving anysubscriber-initiated contact with content creator 12, such assubscriber-initiated email communications, subscriber-initiatedmessages, etc. Performance and impact engine 20 a may determine thatregardless of the communication method, the speed with which contentcreator 12 replies to a subscriber is of the most import, resulting in adetermination that time is a relevant factor rather than communicationmethod.

In the above example, performance and impact engine 20 a can identifysubscriber-initiated communications to content creator 12 as being atrigger.

Given the above determinations, performance and impact engine 20 a maycreate a rule that when a current subscriber initiates somecommunication with a content creator, content creator should respondwithin one hour. If, when monitoring subscriber engagements through,e.g., subscriber engagement information stored in database 24 f,performance and impact engine 20 a may instruct subscription platform 16to notify or send a reminder to content creator 12 that he/she shouldrespond to a communication from, e.g., consumer 14, within the hour.

For example, performance and impact engine 20 a may analyze engagementinformation reflecting that when a group of content creator 12'ssubscribers are subscribing at a particular subscription level, a grouppost to all the subscribers at that particular subscription leveloftentimes results in each of the subscribers, e.g., cycling up to ahigher subscription level. In analyzing this engagement information,performance and impact engine 20 a may determine that the relevantfactors include the method and type of communication, i.e., a group poston a social media platform to which each of the subscribers belong. Theperformance and impact engine 20 a may determine that another relevantfactor is the actual subscription level, i.e., each of the subscribersbeing at the twenty dollar per month subscription level. Performance andimpact engine 20 a may determine the relevant trigger to be theexistence of multiple subscribers subscribing at the twenty dollar permonth subscription level. Performance and impact engine 20 a may codifythe above determinations into a rule specifying that when two or moresubscribers are at the twenty dollar per month subscription level,content creator 12 should engage this particular group of subscriberswith a group post on a social media platform common to the two or moresubscribers. In the event that performance and impact engine 20 adetermines that such a scenario currently exists for content creator 12,content creator 12 may be notified of the situation and presented withan engagement recommendation suggesting taking the above-noted action.

As alluded to above, engagement recommendations generated by performanceand impact engine 20 a need not be limited to suggested interactions,but may include suggestions to avoid certain interactions. For example,performance and impact engine 20 a may determine, by analyzinghistorical engagement information, that there is a negative impact onsubscribership when content creators bombard prospective subscriberswith too many communications, resulting in a failure to convert thoseprospective subscribers into actual subscribers. Performance and impactengine 20 a may determine that the relevant factors include status ofthe consumer, i.e., a prospective subscriber that has “liked,“followed”” or “shared” content generated by content creator 12 but hasnot yet subscribed to content creator 12. Performance and impact engine20 a may determine that the relevant factors include the number ofcommunications made to prospective subscribers, i.e., one privatemessage per day. Performance and impact engine 20 a may determine thatthe trigger is content creator 12's transmission of an email.Performance and impact engine 20 a may create a rule specifying thatcontent creator 12 should send, at most, one private message every otherday to a prospective subscriber. If performance and impact engine 20 adetermines that content creator 12 has sent one private message to aprospective subscriber, a notification may be sent to content creator 12reminding them to wait 48 hours before sending another private messageto that prospective subscriber.

It should be noted that performance and impact engine 20 a may obtainand analyze historical engagement information associated with aparticular content creator, e.g., content creator 12. Performance andimpact engine 20 a may obtain and analyze historical engagementinformation associated with other content creators, e.g., those contentcreators having one or more subscribers that also subscribe to contentcreator 12, and/or content creators that create the same or a similartype of content as that created by content creator 12. Performance andimpact engine 20 a may obtain and analyze historical engagementinformation on a platform-wide basis, i.e., all historical engagementinformation stored regarding subscription platform 16.

It should be noted that performance and impact engine 20 a may assigndifferent weight values to factors, triggers, and/or determined impactsassociated with engagement information arising from a particular contentcreator versus that arising from other content creators related byvirtue of creating similar content versus that arising fromplatform-wide engagement information. Performance and impact engine 20 amay assign different weight values to particular aspects of an impactdetermination. For example, performance and impact engine 20 a mayweight triggers involving the same impact factors more than triggersinvolving merely similar impact factors. Performance and impact engine20 a may train the aforementioned behavior model by refining one or moreaspects of impact determination, impact factor determination, andtrigger determination over time through the analysis of an increasingpool of engagement information. For example, the existence of anomalousscenarios or resulting impacts may be filtered out over time.

Making determinations and/or performing analyses as disclosed herein mayinvolve applying one or more analytical methods including, but notlimited to: correlation analysis; regression analysis; clustering;decision tree analysis; and Chi-squared Automatic Interaction Detection(CHAID), a specific type of decision tree analysis; or a combination ofone or more such methods.

Performance and impact engine 20 a may tier engagement recommendationsaccording to the aggressiveness of suggested engagements. For example,performance and impact engine 20 a may categorize engagementrecommendations in terms of, e.g., aggressive subscription maximization,maintenance of subscribership, and/or basic “must-do's” simply not tolose existing subscribers. Based on content creator-specifiedpreferences regarding subscribership and/or revenue-generation, e.g.,subscription-level proportions, a preference for subscribershipmaximization rather than subscribership-generated revenue maximization,etc. Performance engine 20 a may take such content creator-specifiedpreferences into account, e.g., as another factor, when generatingengagement recommendations.

Performance and impact engine 20 a may generate engagementrecommendations without necessarily analyzing historical engagementinformation. For example, performance and impact engine 20 a may rely onstatistical information alone, perform testing, e.g., A/B testing,and/or apply known or independently developed behavior models ingenerating engagement suggestions for one or more content creators. Forexample, without analyzing historical engagement information,performance and impact engine 20 a may generate an engagementrecommendation suggesting that high value subscribers (e.g., subscribersthat pledge donations over some threshold amount) should be engaged bycontent creators more quickly than lower-value subscribers. For example,performance and impact engine 20 a may generate an engagementrecommendation suggesting that content creators engage subscribers viathe most popular social media platforms when content creators wish tonotify subscribers of upcoming content being created by those contentcreators.

FIG. 4 is a flow chart illustrating an example method 56 comprisingcertain operations that may be performed for generating and deliveringengagement recommendations. Method 56 may include obtaining campaigninformation at operation 58. Campaign information may include any of theaforementioned information characterizing creation and/or subscribershipassociated with one or more content creators and/or subscribers. Atoperation 60, the campaign information may be analyzed to determineimpact information indicative of future creator-initiated interactions'impact on subscribership. Determining impact information, as previouslydiscussed, may involve determining impact, impact factors, and triggersassociated with content creator and/or subscriber engagementinformation. Based on the impact information, a system of rules or abehavior model may be developed and applied (or known models and/orstatistical evidence) to current engagement scenarios and/orsubscribership conditions. At operation 62, content creator engagementrecommendations based on the campaign information and the impactinformation may be generated. The content creator engagementrecommendations may represent one or more of the future contentcreator-initiated interactions having positive impact on subscribership.

As alluded to above, some content creators may wish to specify theirpreferred support mechanisms. In some cases, content creators may wishto receive support in the form of revenue generated throughsubscribership. In some cases, content creators may wish to receivesupport through the assistance of non-subscribers. For example, contentcreators may seek support from non-subscribers that may sell promotionalmerchandise, sell or distribute tickets to musical performances by thecontent creators, etc. In some cases, content creators may wish toreceive support through revenue generated by non-subscription relatedactivities such as revenue received through sales of the aforementionedtickets, promotional merchandise, etc. It should be noted that theseexamples are not limiting, and that the disclosure contemplates avariety of different mechanisms that can be used to support contentcreation.

As alluded to above, content creators may wish to specify preferencesregarding revenue performance, e.g., a desired minimum amount of revenuegenerated through subscribership, more subscribers subscribing at lowersubscription levels versus less subscribers subscribing at highersubscription levels, etc. Such preferences may be characterized as acontent creator's “indicia of success,” i.e., how the content creatorprioritizes his/her subscription-based membership campaign. In caseswhere the content creator wishes to receive non-subscription support,content creators may specify indicia of success regarding suchnon-subscription support. For example, a performance content creatorinterested in gaining prominence may consider the distribution oftickets to an upcoming performance (regardless of whether or not revenueis generated from the ticket distribution) to be indicative of asuccessful campaign.

Referring back to FIG. 3 , performance and impact engine 20 a may obtaincampaign information that can include creation information and/orsubscribership information and correlate that campaign information witha content creator's specified indicia of success. Using one or more ofthe same or similar analyses described previously, performance andimpact engine 20 a may determine what actions a content creator may takeor engage in to maximize support for the creation of content. Forexample, testing may be performed with respect to other contentcreator's subscription-based and/or non-subscription-based supportperformance to determine what actions may maximize support for contentcreation. For example, content creator 12 may specify that one indiciaof success involves the sale of a certain amount of promotionalmerchandise. Performance and impact engine 20 a may compare promotionalmerchandise being sold by two other content creators that create thesame type of content as content creator 12 to determine whether thetype, manner of selling, and/or pricing of the first content creator'spromotional merchandise results in better revenue generation than thatof a second content creator's promotional merchandise. Based on thistesting, performance and impact engine 20 a may generatesupport-maximizing recommendations that can be used by, e.g., contentcreator 12, to maximize support for his/her campaign, such asinformation identifying the promotional merchandise resulting in betterrevenue-generation.

For example, performance and impact engine 20 a may obtain campaigninformation regarding two or more content creators. Based on how similarthe campaign information is between the two or more content creators,e.g., content type, number of subscribers, currentsubscription-generated revenue, etc., performance and impact engine 20 amay generate a support-maximizing recommendation for both contentcreators that they collaborate in creating future content.

FIG. 5 is a flow chart illustrating an example method 66 comprisingcertain operations that may be performed for generating and deliveringengagement recommendations. At operation 68, campaign information may beobtained. As previously discussed, performance and impact engine 20 a(FIG. 3 ) may obtain campaign information relevant to one or morecontent creators and/or subscribers. At operation 70, contentcreator-specified information characterizing desired sources of supportmay be obtained. For example, content creator 12 (FIG. 1 ) may inputhis/her desired sources of support via subscription component 18. Thismay include subscribership-generated revenue supporting creation of therecurring content and/or one or more support activities supportingcreation of the recurring content, such as non-subscriber support in theform of selling merchandise, among other support mechanisms. Atoperation 72, content creator-specified indicia characterizingsuccessful realization of support from the content creator's perspectivemay be obtained. For example, content creator 12 may specify, again viasubscription component 18, how he/she may define how successful supportmay be realized, e.g., ticket distribution, a certain amount of revenuegeneration, etc. At operation 74, support-maximizing recommendationsbased upon one or more correlations between the contentcreator-specified indicia and the campaign information may be generated.At operation 76, one or more of the support-maximizing recommendationsmay be delivered for presentation to the content creator.

FIG. 6 illustrates an example user interface 78. User interface 78 maybe presented to one or more content creators, e.g., content creator 12,that have a creator account on subscription platform 16. User interface78 may be implemented as part of a webpage “dashboard” and/or separateapplication accessible by content creator 12. In the context of thisdisclosure, a dashboard can refer to a collation of information aboutone or more content creators.

User interface 78 may present options content creator 12 may select toview one or more aspects of content creator 12's subscription-basedbusiness via a performance statistics reporting menu 80. For example,user interface 78 may present an option to view content creator 12'searnings over some period time, subscribership statistics over someperiod of time, etc. User interface 78 may present information regardingcontent creator 12's subscriber-based business, e.g., earnings,subscribership, etc. in a graphical format such as a chart 82. Userinterface 78 may present information in other formats or combinations offormats as well, such as in the form of a text report. This informationmay obtained by performance and impact engine 20 a and forwarded toreporting engine 20 b for presentation.

As previously discussed, content creator 12 may input one or morepreferences regarding revenue generation, non-subscription support, etc.Such preferences may be input via a preferences interface 84 associatedwith subscription levels, correlated preferential access information,preferred sources of support, specified indicia of success, etc. Forexample, as illustrated in FIG. 6 , options regarding subscriptionlevels, correlated preferential access information, preferred sources ofsupport, specified indicia of success, etc. may be presented to contentcreator 12. Content creator 12 may interact with preferences interface84 via drop-down menus (or some other mechanism(s)) to view, enter,and/or select options regarding the above-noted preferences. Forexample, content creator 12 may select a desired subscriber level, apreferential access activity, and create a correlation between the two,while entering support sources and success indicia specific to his/hercampaign. Content creator 12 may enter such preferences upon creation ofa creator account with subscription platform 16 and/or anytime duringcontent creator's campaign.

As previously discussed with respect to FIG. 3 , reporting engine 20 bmay output engagement recommendations and/or support recommendationsgenerated by performance and impact engine 20 a. One or more of thesegenerated recommendations may be presented to content creator 12 viarecommendation drop-down menus 86 and 88. Content creator may choose toimplement an engagement or support recommendation and upon completion,may indicate he/she has completed the engagement.

Instead of presenting engagement and/or support recommendations via userinterface 78, reporting engine 20 b may send notifications or remindersto content creator 12 in real-time or near real-time. For example, whenperformance and impact engine 20 a determines the existence of one ormore triggers, performance and impact engine 20 a may instruct reportingengine 20 b to email and/or send a pop-up window notification to contentcreator 12's personal webpage instance presenting one or morerecommendations.

Support recommendations generated by performance and impact engine 20 amay be used to generate and/or re-organize content creator 12's webpage.Subscription platform 16 may include a webpage builder or layoutgenerator configured to generate machine-readable instructions or code,e.g., HTML code, based upon input parameters reflecting supportrecommendations generated by performance and impact engine 20 a and/orreported by reporting engine 20 b. For example, a subscriptionrecommendation may involve selling T-shirts as promotional merchandise.Content creator 12's webpage may be updated to present an option forsubscribers to buy promotional T-shirts as a way to support contentcreator 12. For example, content creator 12, in specifying preferredsupport sources may rank his/her preferred support sources in terms ofimportance to his/his subscriber-based membership campaign. For example,performance engine 20 a may consider content creator 12's specifiedindicia of success. Based upon such rankings and/or indicia of success,input parameters may be created for the webpage builder or layoutgenerator of subscription platform 16 to use in generating and/orre-organizing aspects and elements of content creator 12's webpage.

Although the system(s) and/or method(s) of this disclosure have beendescribed in detail for the purpose of illustration based on what iscurrently considered to be the most practical and preferredimplementations, it is to be understood that such detail is solely forthat purpose and that the disclosure is not limited to the disclosedimplementations, but, on the contrary, is intended to covermodifications and equivalent arrangements that are within the spirit andscope of the appended claims. For example, it is to be understood thatthe present disclosure contemplates that, to the extent possible, one ormore features of any implementation can be combined with one or morefeatures of any other implementation.

What is claimed is:
 1. A system configured to generate and deliverrecommendations, the system comprising: one or more physical processorsconfigured by machine-readable instructions to: monitor a servermanaging online content created by a content creator, wherein consumersaccess the online content through consumer computing platforms accessingthe server over a network, the consumers including subscribers to thecontent creator, the content creator being associated with informationcharacterizing one or both of the content creator or the online contentcreated by the content creator; analyze the information based on resultsof one or more interactions between the content creator and one or moreof the subscribers to determine how a future interaction will impactsubscribership of the content creator; and generate and deliver arecommendation to either perform the future interaction if the futureinteraction is determined to have a positive impact on thesubscribership, or to avoid the future interaction if the futureinteraction is determined to have a negative impact on thesubscribership, the recommendation being delivered over the network to acomputing platform of the content creator for presentation on thecomputing platform.
 2. The system of claim 1, wherein the informationfurther characterizes the subscribership of the content creator, theinformation characterizing the subscribership of the content creatorincluding revenue-related performance of the subscribership.
 3. Thesystem of claim 1, wherein the information further characterizes thesubscribership of the content creator, the information characterizingthe subscribership of the content creator including one or more of a newsubscription creation rate, a subscriber retention rate, or a subscriberchurn rate.
 4. The system of claim 1, wherein the one or more physicalprocessors are further configured by the machine-readable instructionsto determine a first impact of instances of subscriber-initiatedinteraction on the subscribership, and a second impact of instances ofcontent creator-initiated interaction on the subscribership.
 5. Thesystem of claim 4, wherein the instances of the subscriber-initiatedinteraction and/or the second impact of the content creator-initiatedinteraction are historical instances.
 6. The system of claim 5, whereinthe historical instances are further representative of thesubscriber-initiated interaction between subscribers of a second contentcreator and the second content creator and/or the contentcreator-initiated interaction between the second content creator and thesubscribers of the second content creator.
 7. The system of claim 4,wherein the one or more physical processors are further configured bythe machine-readable instructions to determine one or more factorspresent in the instances of the content creator-initiated interactioncontributing to the second impact.
 8. The system of claim 7, wherein atleast one of the one or more factors comprises timing information. 9.The system of claim 7, wherein the one or more physical processors arefurther configured by the machine-readable instructions to identify oneor more aspects of the instances of the content creator-initiatedinteraction as one or more triggers for triggering performance of thefuture interaction.
 10. The system of claim 9, wherein the one or morephysical processors are further configured by the machine-readableinstructions to codify the second impact, the one or more factors, andthe one more triggers into one or more rules upon which therecommendation is based.
 11. A system configured to generaterecommendations, the system comprising: one or more physical processorsconfigured by machine-readable instructions to: monitor a servermanaging online content created by a content creator, wherein consumersaccess the content through consumer computing platforms accessing theserver over a network, the consumers including subscribers to thecontent creator, the content creator being associated with campaigninformation characterizing one or both of the content creator or theonline content created by the content creator; and generate and delivera recommendation that enhances the content creator's ability to createthe online content, the recommendation being generated based upon one ormore correlations between indicia characterizing successful realizationof support from a perspective of the content creator and the campaigninformation, the recommendation being delivered over the network to acomputing platform of the content creator for presentation on thecomputing platform.
 12. The system of claim 11, wherein the one or morephysical processors are further configured by the machine-readableinstructions to generate webpage layout instructions for organizingwebpage elements representing one or more aspects of webpage presentingthe online content.
 13. The system of claim 11, wherein the one or morephysical processors are further configured by the machine-readableinstructions to transmit notifications suggesting that the contentcreator engage in one or more future interactions determined to resultin the successful realization of support.
 14. The system of claim 13,wherein the one or more physical processors are configured by themachine-readable instructions to transmit the notifications at timesdetermined to be likely to result in the successful realization ofsupport.
 15. The system of claim 11, wherein the content creator isfurther associated with non-subscribership support activities.
 16. Thesystem of claim 11, wherein the one or more physical processors arefurther configured by the machine-readable instructions to analyze thecampaign information associated with one or more other content creatorsrelated to the content creator.
 17. A method to generaterecommendations, the method comprising: monitoring a server managingonline content created by a content creator, wherein consumers accessthe online content through consumer computing platforms accessing theserver over a network, the consumers including subscribers to thecontent creator, the content creator being associated with informationcharacterizing one or both of the content creator or the online contentcreated by the content creator; analyzing the information based onresults of one or more interactions between the content creator and oneor more of the subscribers to determine how a future interaction willimpact subscribership of the content creator; and generating anddelivering a recommendation to either perform the future interaction ifthe future interaction is determined to have a positive impact on thesubscribership, or to avoid the future interaction if the futureinteraction is determined to have a negative impact on thesubscribership, the recommendation being delivered over the network to acomputing platform of the content creator for presentation on thecomputing platform.
 18. The method of claim 17, further comprisingdetermining the impact by: determining first impact of instances ofsubscriber-initiated interaction on the subscribership and/or secondimpact of instances of content creator-initiated interaction on thesubscribership; and determining one or more factors present in theinstances of the content creator-initiated interaction contributing tothe second impact.
 19. The method of claim 18, further comprising:identifying one or more aspects of the instances of the contentcreator-initiated interaction as one or more triggers for triggeringperformance or avoidance of one or more other future interactions; andcodifying the second impact, the one or more factors, and the one moretriggers into one or more rules upon which the recommendation is based.20. The method of claim 19, wherein at least one of the one or morefactors comprises timing information.